Information Integration from Human and Sensing Data for Cognitive Radar (Preprint)

Abstract

Cognitive radar, according to IEEE Standard Radar Definitions 686 [1], is a 'radar system that in some sense displays intelligence, adapting its operation and its processing in response to a changing environment and target scene'. In particular, both the active and passive sensors embedded in a cognitive radar allow it to perceive/learn the dynamically changing environments, e.g., targets, clutter, RF interference and terrain map. To attain optimized performance for tasks such as detection, tracking and classification, the controller in a cognitive radar adapts the radar architecture and adjusts the resource allocation policy in real time [2, 3, 4]. For a wide range of applications, different techniques and methods of adaptation have been proposed, e.g., adaptive revisit time scheduling, waveform selection, antenna beam pattern, and spectrum sharing, to advance the mathematical foundations, assessment and evaluation in the context of cognitive radar [5, 6, 7, 8, 9, 10].

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Document Details

Document Type
Technical Report
Publication Date
May 21, 2021
Accession Number
AD1134112

Entities

People

  • Baocheng Geng
  • Muralidhar (Murali) Rangaswamy
  • Pramod Varshney

Organizations

  • Air Force Research Laboratory
  • Syracuse University

Tags

Communities of Interest

  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Cognitive Systems Engineering
  • Computers
  • Data Fusion
  • Detection
  • Detectors
  • False Alarms
  • Information Processing
  • Information Systems
  • Multiagent Systems
  • Neural Networks
  • Probability
  • Radar
  • Random Variables
  • Signal Processing
  • Warning Systems

Readers

  • Computer Networking
  • Radar Systems Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.